Show simple item record

AuthorAbdul Rahman, Ayu
AuthorSyed Yahaya, Sharipah Soaad
AuthorAtta, Abdu Mohammed Ali
Available date2020-06-23T20:45:40Z
Publication Date2019
Publication NameCommunications in Statistics: Simulation and Computation
ISSN3610918
URIhttp://dx.doi.org/10.1080/03610918.2018.1532001
URIhttp://hdl.handle.net/10576/15109
AbstractIncluding three existing charts, a new approach employing a modified one-step M-estimator (MOM) with Cumulative Sum (CUSUM) control structure were evaluated and compared for their Phase II performances based on the average run length (ARL) under various skewed distributions. The primary focus was on the robustness of the CUSUM charts in two separate cases: (i) when the process parameters are known and (ii) when the process mean is unknown and estimated from an in-control Phase I sample. The simulation and real data analysis showed the proposed technique is comparable or sometimes better than the existing charts. - 2018, - 2019 Taylor & Francis Group, LLC.
Languageen
PublisherTaylor and Francis Inc.
SubjectAverage run length
SubjectCUSUM chart
SubjectMOM
SubjectProcess location
SubjectSkewed distributions
TitleRobustification of CUSUM control structure for monitoring location shift of skewed distributions based on modified one-step M-estimator
TypeArticle


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record